A Structured Curriculum Vitae Dataset for CV Generation and Parsing

This dataset consists of structured representations of r\u00e9sum\u00e9s\/CVs collected from real-world users. Each CV is stored in a standardized JSON format, segmented into predefined sections such as personal information, education, work experience, skills, and projects. The dataset was designed to support research in automated CV parsing, structured document understanding, and curriculum vitae generation using Sequence-to-Sequence (Seq2Seq) models. With 133 anonymized entries, this dataset offers a clean and consistent foundation for fine-tuning machine learning models in the domain of natural language processing and information extraction. The CVs were collected as part of the graduation (honours) project \u201cTailored CV Generation\u201d at the Faculty of Computer and Information Sciences, Ain Shams University, Egypt.